This textbook provides a complete overview of motivation and emotion, using an
overarching organizational scheme of how biological, psychological, and environmental …

How do people feel when they experience bittersweet events comprised of pleasant and
unpleasant aspects (eg, good news accompanied by bad)? Just as acids immediately …

Recently, emotion classification from EEG data has attracted much attention with the rapid
development of dry electrode techniques, machine learning algorithms, and various real …

Categorical models of emotions posit neurally and physiologically distinct human basic
emotions. We tested this assumption by using multivariate pattern analysis (MVPA) to …

Lower social class (or socioeconomic status) is associated with fewer resources, greater
exposure to threat, and a reduced sense of personal control. Given these life circumstances …

Sharing others' emotional states may facilitate understanding their intentions and actions.
Here we show that networks of brain areas “tick together” in participants who are viewing …

Although clinical observations suggest that humans with amygdala damage have abnormal
fear reactions and a reduced experience of fear [1–3], these impressions have not been …

The Emognition dataset is dedicated to testing methods for emotion recognition (ER) from
physiological responses and facial expressions. We collected data from 43 participants who …

Although affective facial pictures are widely used in emotion research, standardised affective
stimuli sets are rather scarce, and the existing sets have several limitations. We therefore …

From a computational viewpoint, emotions continue to be intriguingly hard to understand. In
research, a direct and real-time inspection in realistic settings is not possible. Discrete …